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机译:受影响的疲劳寿命散射和预测加剧制造的inconel718:基于微型样本测试和机器学习方法的研究
Key Laboratory for Anisotropy and Texture of Materials Ministry of Education School of Materials Science and Engineering Northeastern University 3-11 Wenhua Road Shenyang 110819 PR China;
Key Laboratory for Anisotropy and Texture of Materials Ministry of Education School of Materials Science and Engineering Northeastern University 3-11 Wenhua Road Shenyang 110819 PR China;
Key Laboratory for Anisotropy and Texture of Materials Ministry of Education School of Materials Science and Engineering Northeastern University 3-11 Wenhua Road Shenyang 110819 PR China;
Shenyang National Laboratory for Materials Science Institute of Metal Research Chinese Academy of Sciences 72 Wenhua Road Shenyang 110016 PR China;
Materials & Manufacturing Qualification Croup Corporate Technology Siemens Ltd China Beijing 100102 PR China;
Materials & Manufacturing Qualification Croup Corporate Technology Siemens Ltd China Beijing 100102 PR China;
Materials & Manufacturing Qualification Croup Corporate Technology Siemens Ltd China Beijing 100102 PR China;
Shenyang National Laboratory for Materials Science Institute of Metal Research Chinese Academy of Sciences 72 Wenhua Road Shenyang 110016 PR China;
Selective laser melting; Pore feature; Fatigue life; Statistical analysis; Machine learning;
机译:一种基于添加剂制造制造的航空航天合金零件寿命预测机械学习模型的新型方法
机译:激光增材制造的不锈钢的高周疲劳寿命预测:一种机器学习方法
机译:激光增材制造的不锈钢的高周疲劳寿命预测:一种机器学习方法
机译:使用选择性激光熔融(SLM)工艺评估INCONEL 718合金的增材制造的试样
机译:镍基高温合金Inconel 718疲劳寿命的喷丸效果分析预测
机译:车削镍基高温合金Inconel 718主残余应力和疲劳性能的实验研究
机译:通过添加制造产生的易置和热处理的耐热性和热处理的耐热性的疲劳评估包括缺口效应